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Article

Thermochemical Pretreatment for Improving the Psychrophilic Anaerobic Digestion of Coffee Husks

by
Tzyy Shyuan Yang
1,
Carla Flores-Rodriguez
2,3,
Lorena Torres-Albarracin
4,5 and
Ariovaldo José da Silva
1,*
1
School of Agricultural Engineering (FEAGRI), State University of Campinas (UNICAMP), Campinas 13083-875, SP, Brazil
2
School of Food Engineering (FEA), State University of Campinas (UNICAMP), Campinas 13083-862, SP, Brazil
3
Interdisciplinary Research Group on Biotechnology Applied to the Agriculture and the Environment, School of Agricultural Engineering, State University of Campinas (UNICAMP), Campinas 13083-875, SP, Brazil
4
School of Mechanical Engineering, State University of Campinas (UNICAMP), Campinas 13083-860, SP, Brazil
5
Center for Energy Planning (NIPE), State University of Campinas (UNICAMP), Campinas 13083-896, SP, Brazil
*
Author to whom correspondence should be addressed.
Methane 2024, 3(2), 214-226; https://doi.org/10.3390/methane3020013
Submission received: 16 November 2023 / Revised: 22 December 2023 / Accepted: 5 March 2024 / Published: 29 March 2024
(This article belongs to the Special Issue Anaerobic Digestion Process: Converting Waste to Energy)

Abstract

:
Psychrophilic anaerobic digestion emerges as an appealing integrated solution for the management of agricultural waste, particularly for farmers in regions where the average temperature does not exceed 26 °C, as seen in coffee cultivation. Therefore, this study seeks to assess the biomethane potential of thermochemical-treated coffee husk through psychrophilic anaerobic digestion (C3-20 °C-w/pretreatment). To examine its viability, outcomes were compared with reactors operating at both mesophilic (C1-35 °C) and psychrophilic (C2-20 °C) conditions, albeit without the use of pretreated coffee husk. The C3-20 °C-w/pretreatment test demonstrated a 36.89% increase (150.47 NmL CH4/g VS; 161.04 NmL CH4/g COD), while the C1-35 °C test exhibited a 24.03% increase (124.99 NmL CH4/g VS; 133.77 NmL CH4/g COD), both in comparison to the C2-20 °C test (94.96 NmL CH4/g VS; 101.63 NmL CH4/g COD). Notably, the C3-20 °C-w/pretreatment trial yielded superior outcomes, accompanied by an associated energy output of 3199.25 GWh/year, sufficient to meet the annual energy demands of 494 residences. This marks an increase of 83 and 182 million residences compared to the mesophilic and psychrophilic AD of CH without pretreatment, respectively.

1. Introduction

Agricultural residues, commonly known as agro-wastes, are the byproducts (i.e., crop remnants, fruits, roots, husks, residual stalks, and various types of vegetables) resulting from a wide range of agricultural procedures and activities. Their primary composition consists of carbohydrate polymers such as starch, lignocellulose, cellulose, and hemicellulose, as well as proteins, lipids, fibers, and other organic constituents. The substantial organic content in these residues, when not disposed of properly, can have adverse environmental implications (e.g., greenhouse gas (GHG) emissions and effects of global warming). Therefore, utilizing these residues as a feedstock for clean energy production represents an environmentally friendly approach to residue management [1,2,3,4]. In this perspective, the use of residuals from coffee chain production, which is one of the most popular beverages in the world, is of utmost importance due to the large quantity produced [5]. According to [6], in the fiscal year 2019/2020, global coffee production and consumption reached 169.34 million bags (60 kg each) and 168.39 million bags, respectively, resulting in a surplus of 950,000 bags. The overall trend in coffee consumption has demonstrated a continuous increase. To illustrate, the annual global coffee production witnessed increases of 83.35%, 50%, and 20% in the fiscal years 2018/2019 as compared to the respective production in 1990/1991, 2000/2001, and 2010/2011 [6]. By country, Brazil is the world’s largest coffee producer, followed by Vietnam, Colombia, and Indonesia. In 2020, Brazil produced more than 60 million bags (63,400) of processed coffee, constituting 37% of global production (169,634). This substantial output also led to the generation of a significant amount of waste (coffee husks), which could be a source for the sustainable generation of bioenergy and biofuels [1,2,3,4,7].
Brazilian coffee production covers an extensive area accommodating both Arabic and Conilon coffee species. In Brazil, Arabic coffee thrives in cooler regions, typically at altitudes above 500 m, where the annual average temperature falls between 18 °C and 22 °C. In contrast, Conilon coffee is more suitable for areas where the average temperature ranges from 22 °C to 26 °C [8]. In Brazilian plantations, coffee cherries are typically dried to remove the exocarp, mesocarp, and endocarp, generating approximately 1 kg of husk for every 1 kg of coffee bean produced [9,10,11,12]. This residual is commonly employed as an organic fertilizer, distributing it across their plantation soils. Nonetheless, despite its favorable chemical composition, particularly in terms of nitrogen (N) and potassium (K) content when compared to other organic fertilizers, the husk poses challenges due to its bulkiness [11,13,14]. This makes storage, handling, and soil integration problematic, resulting in only a portion of the husks being utilized as fertilizer. Additionally, its unwieldy texture renders coffee husks unsuitable as a caffeine source for pharmaceutical and beverage companies but hold great potential for applications in anaerobic digestion (AD) due to the high energy density stored per unit mass (13–21 MJ/kg) [9,11,15,16,17,18,19].
AD mineralizes organic compounds to methane (CH4) and carbon dioxide (CO2) and stands as the most ancient technology for harnessing energy from the biological breakdown of organics [20]. At present, the primary role of AD biodigesters is to capture CH4 emissions arising from the decomposition of organic matter, such as that from agricultural activities. In doing so, the release of greenhouse gases into the environment is mitigated [21]. The AD process involves four key stages: hydrolysis, acidogenesis, acetogenesis, and methanogenesis. Among these, hydrolysis is the limiting factor due to the rigid cell walls in vegetal organics, resulting in extended digestion times and reduced biogas production [21]. Many studies on lignocellulosic biomass-fed AD operate at 35–55 °C, where reactions generally proceed more efficiently [22]. Yet, maintaining these temperature ranges involves considerable energy costs, reducing the viability of anaerobic digestion for cost-effective smallholder digesters, which are generally operated at ambient temperatures (10 °C–25 °C) and influenced by seasonal variations [23,24,25,26]. Psychrophilic AD has the potential to replace mesophilic or thermophilic AD, providing a promising solution for year-round sustainable biogas production, applying not only to tropical and sub-tropical regions with temperatures up to 25 °C but also to temperate regions where temperatures can drop as low as 10 °C [23,24,25,26].
Research on psychrophilic AD is limited, and there is a noteworthy need for increased focus on strategies to accelerate the rate-limiting steps at this operational condition [23,24]. This could include the study of waste pretreatment, specifically the ones developed to enhance the digestion of lignocellulosic substrates. Thus, given the above and considering that coffee is more suitable for areas where the average temperature ranges from 18 °C to 26 °C, this research aims to compare the AD of coffee husk for CH4 production at mesophilic (35 °C) and at psychrophilic (20 °C) operational conditions, as well as, at psychrophilic (20 °C) temperature but using biomass thermochemically pretreated as a biomimetic strategy for the fermentation of lignocellulosic biomass. The results might provide a solution to agricultural waste management at ambient temperature for farmers.

2. Materials and Methods

2.1. Coffee Husk and Inoculum

The coffee husk (CH) used in this study came from the 2022/2023 crop harvest of agricultural land in the municipality of São Sebastião do Paraíso, Minas Gerais, Brazil. Prior to anaerobic digestion, biomass was ground to obtain pieces of 10 cm. The anaerobic sludge (AS) used as inoculum came from a pilot-scale anaerobic reactor treating slaughterhouse wastewater in Pereiras, São Paulo, Brazil. Before undergoing the AD process, the main physicochemical parameters of both the CH and AS were assessed. The total and volatile solid (TS and VS) contents were measured according to the USEPA method 1684, while, the measurement of pH was analyzed by procedures described in the APHA method 4500B. The elemental composition (C, H, O, N, and S) analysis was performed with a CHNS elemental analyzer (LECO, CHNS-932). Table 1 summarizes the main characteristics of CH and AS.

2.2. Experimental Setup

2.2.1. Adaptation and Degassing Stage

Biomethane potential (BMP) assays were carried out to determine the CH4 production of CH residues at mesophilic (C1-35 °C) and psychrophilic (C2-20 °C) operational conditions, as well as at psychrophilic (20 °C) conditions but using biomass that was thermochemically pretreated (C3-20 °C-w/pretreatment). BMP tests were carried out according to the guidelines in the VDI 4630 norm [27] and the recommendations in Holliger et al. [28] and Hafner et al. [29] to increase the probability of obtaining validated and reproducible results. Prior to the BMP assays, an adaptation stage was established to develop and intensify the lignocellulose (cellulose and hemicellulose) degrading activity in the culture [30]. The adaptation stage shows the acclimation of the AS with CH, and it was performed in a glass bottle (2000 mL) with a working volume of 1200 mL. The operation solution was prepared by mixing CH with AS at a substrate/inoculum ratio of 0.1, as stated in the VDI 4630 standard [27]. Prior to the operation, the glass bottle was flushed with nitrogen gas (N2), sealed, and incubated at 35 ± 1 °C. Feeding was carried out once, and the stage was stopped when daily methane production ceased to deplete the residual biodegradable organic material present in it (methane production per day became less than 0.5% of the cumulative methane) [27,31,32,33,34].

2.2.2. BMP Tests

After six weeks of acclimation, glass bottles (500 mL) were fixed with an inoculum-to-substrate ratio of 0.5 based on a volatile solid (%VS) [4]. Each test was performed using three biological replicates. Then, each glass bottle was connected to a glass graduated eudiometer and filled with a NaCl 6M phenolphthalein colored barrier solution. In the C1-35 °C test, the temperature was maintained at 35 °C, whereas in the C2-20 °C and C3-20 °C-w/pretreatment tests, the temperature was regulated at 20 °C. In the C3-20 °C-w/pretreatment test, coffee husk was exposed to a thermochemical pretreatment (120 °C, 0.5% HCl (v/v), 30 min of exposition time) prior to the BMP assay [35,36].

2.2.3. Monitoring Biogas Production

The BMP performance of each test was evaluated in terms of CH4 production rate, cumulative CH4 production (NmL), and CH4 yield (NmL CH4/g VS). CH4 production was recorded twice a week. Samples from the eudiometer headspace were taken to determine the amount of CH4 in biogas by gas chromatography (Shimadzu mark GC-2030 model) equipped with a thermal conductivity detector. For the gas volume normalization under standard temperature (T0 = 273.15 K) and pressure (P0 = 1 atmosphere) (STP), the actual room temperature (Tr) and atmospheric pressure (Pr) were recorded at the same time as when the gas volume (V) was measured [37]. All methane yields were expressed as NmL of CH4 at STP conditions per gram of organic substrate added (g VS).

2.2.4. Theoretical Chemical Oxygen Demand, Theoretical Biomethane Potential, and Biodegradability

Theoretical methane potential is utilized to estimate the methane generation from a particular substrate characterized by its specific chemical composition. According to Cangussu et al. [38] coffee husk has a high content of crude protein (7–17%). For biomass that contains proteins, a modified Buswell’s formula is generally used. The expression representing the stoichiometric formula and the methane yield is represented in Equations (1) and (2) [39,40,41].
C n H a O b N c + n a 4 b 2 + 3 c 4 H 2 O n 2 + a 8 b 4 3 c 8 C H 4 + n 2 a 8 + b 4 + 3 c 8 C O 2 + c N H 3
B M P T h ( N m L C H 4 / g V S ) = 22400 n 2 + a 8 b 4 3 c 8 12 n + a + 16 b + 14 c
where n = % C ( % b y w e i g h t ) 12 , a = % H ( % b y w e i g h ) 1 , b = % O ( % b y w e i g h ) 16 and c = % N ( % b y w e i g h ) 14 ; B M P T h is the theoretical biomethane potential. The stoichiometrically calculated chemical oxygen demand ( C O D T h ) was determined using the theoretical Equation (3) [42].
C O D T h ( g C O D 4 / g V S ) = 2 n + 0.5 a 1.5 c b × 16 12 n + a + 16 b + 14 c
The adjusted Dulong formula (Equations (4) and (5)) was utilized to predict the energy potential and the maximum (CH4) yield [43]. This prediction relies on the energy value of the input material, which is also determined from its elemental composition [33,43]. The energy potential in KWh/Mt units was then determined by using the conversion factor of 3.6 MJ/kWh, and the conversion factor of the stoichiometrically calculated oxygen demand.
E 0 M J k g V S = 337 C + 1419 H 1 8 O + 93 S + 23.26 N
B M P E 0 N m L C H 4 g V S = E 0 based on % V S 37.78
where E 0 is the energy value of the substrate (MJ/kg) and methane energy content = 37.78 MJ/m3 at STP.
Biodegradability was calculated as shown in Equation (6).
B D C H 4 = B M P E x p B M P T h × 100
where B M P e x p ( N m L C H 4 / g V S ) is the accumulated CH4 yield; B M P T h is the theoretical CH4 yield at STP; and B D C H 4 is the anaerobic biodegradability (%).
The methane yield experimental data obtained in the BMP tests was used to determine the energy output using Equation (7):
E C H 4 E x p K J g V S = B M P E x p × E × Λ m
where E C H 4 E x p is the energy output in (kJ/g VS removed), B M P E x p is the cumulative CH4 yield (NmL CH4/g VS), E is the lower heating value of CH4 (35.800 kJ/m3 CH4), and Λ m is the energy conversion factor of methane (0.9).

2.2.5. First-Order Kinetic Model

A first-order kinetic model was employed to fit the cumulative methane production data. It assumes that the substrate quantity to be hydrolyzed strongly influences the overall hydrolysis rate and the bio-conversion efficiency, constituting a critical point where pretreatments of lignocellulosic biomass play a fundamental role. Therefore, a successful hydrolysis conversion of the biodegradable components within CH aligns with an effective biomethanation process [44]. In addition, this model can simulate the biomethane accumulation based on an exponential rise to the maximum [45,46,47]. The production of methane was assumed to follow Equation (8) and was simulated via a non-linear regression analysis using the ‘Solver’ function in Microsoft Excel Software, 2007. Then, the model predicted the CH4 yields, which were plotted with their respective experimental CH4 yields.
B M P P r e d ( t ) = B M P E x p [ 1 e k t ]
where B M P P r e d ( t ) is the cumulative predicted CH4 production (NmL/g VS); B M P E x p is the maximum CH4 production (NmL/g VS); e is E x p ( 1 ) = 2.718282; k is the first-order kinetic constant (day−1); and t is the digestion time (days). The kinetics of biogas production were evaluated using the following parameters: B M P P r e d , B M P E x p , k, Adjusted R 2, and root mean square error (RMSE).

3. Results and Discussion

3.1. Changes in Biogas and Methane Productivity

The biogas production and CH4 production were analyzed periodically to evaluate the effects of temperature and the effect of thermochemical pretreatment on the BMP performance. The results were recorded for 47 days and ended when the BMP tests produced less than 0.5% of daily production. As it may be observed in Figure 1a, the maximum gas production occurs between 4 and 12 days, after which the rate of gas production declines. Among all conditions, C2-20 °C produced the lowest biogas production, reaching a maximum value of 235.25 NmL on day 7, while C1-35 °C and C3-20 °C-w/pretreatment tests reached 439.29 NmL and 368.61 NmL on day 4 and day 7, respectively. In these days, a similar performance was observed with the CH4 productivity, where the C3-20 °C-w/pretreatment test presented a maximum value with a 73% increase (139.15 NmL CH4) when compared with C2-20 °C (101.69 NmL CH4), while C1-35 °C just achieved a 54% increase (186.87 NmL CH4). The cumulative biogas and cumulative CH4 production are shown in Figure 1b. The results revealed that the use of thermochemically pretreated CH positively influenced the increase in biogas production (C3-20 °C-w/pretreatment). This reached 3539.90 NmL, approximately 20.64% higher than that produced by the untreated samples and operated at psychrophilic conditions (C2-20 °C), while the cumulative biogas production by the untreated samples and operated at mesophilic conditions (C1-35 °C) was approximately 11.20% higher (3163.38 NmL). Likewise, their respective cumulative methane productivity was higher by 12.8% (1376.36 NmL) and 15.3% (1417.38 NmL). It can be noted that the AD process was constrained by the lower temperature (C2-20 °C). This low performance could be attributed to the fact that the anaerobic digestion of lignocellulosic biomass encounters limitations in psychrophilic (cold) conditions primarily because of the decreased activity and efficiency of enzymes and microorganisms, which are significantly enhanced in mesophilic and thermophilic anaerobic digestion processes [48]. However, mesophilic operation does not outperform that of psychrophilic operation with pretreated CH; this exceptional outcome can be ascribed to the availability of cellulose, hemicellulose, and fermentable substances that become readily accessible to microorganisms when a feedstock is pretreated [49,50,51]. According to [35], this breakdown includes the deacetylation of hemicelluloses, which could lead to an elevation in acetic acid concentration within the reactive mixture, promoting the hydrolysis and deriving in higher biogas production consequently [35,49,50,51].

3.2. Stoichiometry, Theoretical COD, Theoretical Biomethane Potential, and Biodegradability

The chemical formula of the CH was found to be C0.55H0.85O0.43N0.02 regarding the elements C, H, O, and N from the stoichiometric equation (Equation (2)) (Table 2). H2S was not considered since it was absent in the biogas mixture. As shown in Table 3, BMPTh, as calculated from the elemental composition, exceeded the BMPExp. Buswell’s equation predicted a BMPTh of 405.52 NmL CH4/g VS (434 NmL CH4/g COD), while the corresponding BMPE0 with modified Dulong’s equation was 402.26 NmL CH4/g VS (430.50 NmL CH4/g COD). However, experimental BMPExp among all conditions ranged from 94.96 to 150 NmL/g VS (Figure 1b). As discussed in [32], the BMPTh approaches tend to overstate the CH4 production in comparison to the experimental methods due to the Buswell formula’s inability to distinguish between biodegradable and non-biodegradable matter, with a portion of biodegradable material being allocated for cell growth, metabolites, and the protoplasm synthesis of microbes [52]. According to previous authors, CH has large variability values for cellulose (14.7–46.1%), hemicellulose (10.2–29.7%), and lignin (10.1–34.2%) [38]. As lignin is a component of the cell wall and is known for its high resistance, it may have exerted a significant influence on both the yield and efficiency of the process [53,54].
The C3-20 °C-w/pretreatment test resulted in an increase of 36.89% (150.47 NmL CH4/g VS; 161.04 NmL CH4/g COD), whereas the C1-35 °C test showed a 24.03% increase (124.99 NmL CH4/g VS; 133.77 NmL CH4/g COD), both compared to the C2-20 °C test (94.96 NmL CH4/g VS; 101.63 NmL CH4/g COD). Notably, the C3-20 °C-w/pretreatment test yielded superior results. This could be ascribed to the high biodegradability (37.11%) of CH when it was thermochemically pretreated. The biodegradability decreased under untreated conditions at mesophilic AD (30.82%), followed by psychrophilic AD (23.42%) conditions. The order of biodegradation could be understood as being inversely related to the lignin content and directly related to the quantity of cellulose and hemicelluloses, which may contribute to an increase in the concentration of readily degradable organics [53,55]. Comparable findings were achieved in earlier studies concentrating on various pretreatment approaches to enhance the biodegradability and bioavailability of CH to microorganisms during mesophilic AD. For instance, as reported in [56], the CH4 yield was significantly lower in the absence of any pretreatment (i.e., 100 NmL CH4/g VS). However, when subjected to thermal hydrolysis pretreatment, there was an improvement in the ultimate CH4 yield, with increases of 37% and 23% observed at 120 and 180 °C, respectively. Furthermore, significantly improved outcomes were observed through the co-digestion and co-pretreatment of coffee husks and microalgal biomass, demonstrating enhancements ranging from 61% to 96%. In [55], all steam explosion pretreatment conditions applied were worthwhile when compared to non-pretreated CH. Here, the best condition was 120 °C for 60 min, in which a 2.37 severity showed the highest methane yield (144.96 NmL CH4/g COD).

3.3. First-Order Kinetic Model

The model fitness statistics are detailed in Table 4. Plots of the experimental data and simulation of the first-order model are depicted in Figure 2. The methane yield and hydrolysis constant covered a range of values from 149.07 NmL to 221.90 NmL and from 0.019 days−1 to 0.033 days−1, respectively. All results fit very well with the measured data with Adj. R2 > 0.97 for all BMPs. The coefficient of determination (R2 ) between the cumulative methane production curve and first-order kinetic curves was highest for the C2-20 °C test, i.e., 0.996. For the C3-20 °C-w/pretreatment test, the value obtained was similar (0.994), while for the C1-35 °C test, R2 was comparatively low (0.970). The first-order kinetic constant k was highest when coffee husks were fermented at 35 °C (0.033 days−1), showing rapid degradation of the substrate (in 30 days). The reason for the higher degradation rate is probably the influence of mesophilic conditions that provide a kinetic advantage for the degradation rate. The C3-20 °C-w/pretreatment test (0.023 days−1) had a slightly lower k value than the C1-35 °C test. This could be because pretreatment could increase the generation of toxic and recalcitrant compounds that may have been inhibitory to the methanogenic population.

3.4. Energy Content and Energy Output

The energy content or High Heating Value (HHV) of coffee husk on a dry basis (13.09 MJ/kg TS; 15.04 MJ/kg VS) was calculated based on the elemental composition (Table 2 and Table 3). According to the literature, theoretical HHVs of coffee husk are usually around 13–21 MJ/kg [15,16,17,18,19]. If we consider that the predicted overall coffee husk harvest in 2023 amounted to 54.94 million 60 kg bags, equivalent to approximately 3.3 million tons of coffee waste annually, this would yield a potential electrical energy of 11.12 TWh each year [57]. Thus, it can be inferred that coffee husks show great potential as a green and sustainable energy source, simultaneously mitigating pollution and offering a practical approach to coffee waste management.
The energy output has been estimated from BMPExp data by using Equation (7). The energy output values were 3.2 KJ/g CH, 2.5 KJ/g CH and 3.9 KJ/g CH for C1-35 °C, C2-20 °C, and C3-20 °C-w/pretreatment, respectively. These values correspond to 902.2 KWh/T CH, 685.4 KWh/T CH, and 1086.1 KWh/T CH, respectively. Assuming that 3.3 million tons of coffee waste are generated annually, these values would yield 2977.3, 2261.9, and 3584.3 GWh of potential electrical energy per year, respectively. Considering that to hydrothermically pretreat 1 ton of raw coffee husk, an energy input of 420 MJ/T CH would be needed [35,58,59], the net energy using the C3-20 °C-w/pretreatment condition resulted in a surplus of 3199.25 GWh of energy per year that could be used in other stages of coffee processing or to supply electricity for 494 million residences per year in the southeast region of Brazil where the per capita consumption is 2.60 KWh/hab. per year.
According to the results, utilizing psychrophilic AD of thermochemically pretreated carbonaceous material presents a promising approach to enhancing AD at room temperature, providing environmental benefits. Nevertheless, the incorporation of a pretreatment process escalates the expenses of the AD plant, and this expenditure is exacerbated when a combined pretreatment is implemented. This involves the necessity for extra equipment, materials, technology, and skilled personnel. Therefore, a thorough techno-economic analysis is essential for evaluating both individual pretreatment and combined pretreatment approaches.

4. Conclusions

The experimental findings suggest that biomethane production can occur at psychrophilic conditions, yet it demonstrates enhanced efficiency when coffee husk, a type of lignocellulosic biomass, undergoes a thermochemical pretreatment (i.e., 120 °C, 0.5% HCl (v/v), 30 min of exposition time). This superior performance is even observed when compared to AD processes carried out at mesophilic temperatures. Furthermore, it was estimated that it could yield a potential electrical energy of 3199.25 GWh/year that could meet the energy needs of 494 million residences annually. Therefore, the utilization of thermochemical pretreatment on lignocellulosic biomass emerges as a potential approach for implementing AD at ambient temperature. Moreover, coffee processing facilities could have the opportunity to utilize this energy potential for both electrical and thermal energy, contributing to the improvement in their own operational sustainability. In sum, this could eliminate the necessity for external energy input and offer compelling economic benefits, making it a crucial consideration.

Author Contributions

Conceptualization, T.S.Y.; formal analysis, investigation, T.S.Y.; data curation, T.S.Y. and C.F.-R.; writing—original draft preparation, T.S.Y. and C.F.-R.; writing—review and editing, T.S.Y., C.F.-R., L.T.-A. and A.J.d.S.; supervision, A.J.d.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Institutional Program of Scientific Initiation Scholarships PIBIC-UNICAMP, Brazil.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available from the corresponding author on request.

Acknowledgments

The authors thank the School of Agricultural Engineering (FEAGRI) at the State University of Campinas (UNICAMP) for providing research funding PIBIC-UNICAMP.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
TSTotal Solids
VSVolatile Solids
ADAnaerobic Digestion
BDBiodegradability
BMPBiochemical Methane Potential
CODChemical Oxygen Demand
COD T h Theoretical Chemical Oxygen Demand
E 0 Energy Content

References

  1. Neri, A.; Bernardi, B.; Zimbalatti, G.; Benalia, S. An Overview of Anaerobic Digestion of Agricultural By-Products and Food Waste for Biomethane Production. Energies 2023, 16, 6851. [Google Scholar] [CrossRef]
  2. Pan, S.Y.; Tsai, C.Y.; Liu, C.W.; Wang, S.W.; Kim, H.; Fan, C. Anaerobic co-digestion of agricultural wastes toward circular bioeconomy. iScience 2021, 24, 102704. [Google Scholar] [CrossRef]
  3. Lakshana, G.N.; Komal, A.; Pradeep, V. An overview of sustainable approaches for bioenergy production from agro-industrial wastes. Energy Nexus 2022, 6, 100086. [Google Scholar] [CrossRef]
  4. Gómez-Salcedo, Y.; Baquerizo-Crespo, R.; Da Silva, A.J.; Oliva-Merencio, D.; Pereda-Reyes, I. Anaerobic digestion of solid wastes from coffee wet processing. Rev. Int. Contam. Ambient. 2021, 37, 281–292. [Google Scholar] [CrossRef]
  5. Peshev, D.; Mitev, D.; Peeva, L.; Peev, G. Valorization of spent coffee grounds—A new approach. Sep. Purif. Technol. 2018, 192, 271–277. [Google Scholar] [CrossRef]
  6. Atabani, A.E.; Ali, I.; Naqvi, S.R.; Badruddin, I.A.; Aslam, M.; Mahmoud, E.; Almomani, F.; Juchelkova, D.; Atelge, M.R.; Khan, T.Y. A state-of-the-art review on spent coffee ground (SCG) pyrolysis for future biorefinery. Chemosphere 2018, 286, 131730. [Google Scholar] [CrossRef]
  7. International Coffee Organization. Coffee Year Production. Coffee Production Report-May 2021. 2021. Available online: https://www.ico.org/prices/po-production.pdf (accessed on 16 September 2023).
  8. Guerra, A.F.; Santos, J.d.F.; Ferreira, L.T.; Rocha, O.C. Chapter 5. Coffees of Brazil Research, sustainability and innovation. In Land-Saving Technologies; Telhado, S.F.P.e., de Capdeville, G., Eds.; Embrapa: Brasília, Brazil, 2021. [Google Scholar]
  9. Mazzafera, P. Degradation of caffeine by microorganisms and potential use of decaffeinated coffee husk and pulp in animal feeding. Sci. Agric. 2002, 59, 815–821. [Google Scholar] [CrossRef]
  10. Karolyne, A.; Lages Leal, A.; Santos Silva, R.; Cristina, E.; Ferreira, S.; Soares, R.; Ferreira, P. The quality of roasted and ground brazilian coffee: Chemical analysis of the effect of fixed mineral residue e different types of packaging on moisture content. Res. Soc. Dev. 2021, 10, 1. [Google Scholar] [CrossRef]
  11. Oliveira, L.; Franca, A. Chapter 31—An Overview of the Potential Uses for Coffee Husks. In Coffee in Health and Disease Prevention; Academic Press: Massachusetts, MA, USA, 2015; pp. 283–291. ISBN 9780124095175. [Google Scholar] [CrossRef]
  12. Oliveira, F.; Srinivas, K.; Helms, G.; Isern, N.; Cort, J.; Gonçalves, A.; Ahring, B. Characterization of coffee (Coffea arabica) husk lignin and degradation products obtained after oxygen and alkali addition. Bioresour. Technol. 2018, 257, 172–180. [Google Scholar] [CrossRef]
  13. De Matos, A.T. Waste treatment in post-harvest coffee. In Pós-Colheita do Café; Borem, F.M., Lavras, M.G., Eds.; UFLA: Lavras, Brazil, 2008; Volume 6, pp. 159–201. [Google Scholar]
  14. Galanakis, C. Handbook of Coffee Processing By-Product. Sustainable Applications; Academic Press: Cambridge, MA, USA, 2017; ISBN 978-0-12-811290-8. [Google Scholar]
  15. Twinomuhwezi, H.; Wozeyi, P.; Igwe, V.S.; Amagwula, I.O.; Awuchi, C.G. Heat of Combustion of Coffee Pulp and Husks as Alternative Sources of Renewable Energy. Eur. J. Agric. Food Sci. 2021, 3, 1–4. [Google Scholar] [CrossRef]
  16. Amertet, S.; Mitiku, Y.; Belete, G. Analysis of a Coffee Husk Fired Cogeneration Plant in South Western Ethiopia Coffee Processing Industries. Low Carbon Econ. 2021, 12, 42–62. [Google Scholar]
  17. Manrique, R.; Vásquez, D.; Ceballos, C.; Chejne, F.; Amell, A. Evaluation of the Energy Density for Burning Disaggregated and Pelletized Coffee Husks. Acs Omega 2019, 4, 2957–2963. [Google Scholar] [CrossRef] [PubMed]
  18. Bonilla, J.; Gordillo, G.; Cantor, C. Experimental Gasification of Coffee Husk Using Pure Oxygen-Steam Blends. Front. Energy Res. 2019, 7, 127. [Google Scholar] [CrossRef]
  19. Vale, A.; Gentil, L.; Gonçalez, J.C.; Costa, A. Caracterização energética e rendimento da carbonização de resíduos de grãos de café (Coffea arabica, L) e de madeira (Cedrelinga catenaeformis), Duke. Cerne 2007, 13, 416–420. [Google Scholar]
  20. Serna-Jiménez, J.A.; Siles, J.A.; de los Ángeles Martín, M.; Chica, A.F. A Review on the Applications of Coffee Waste Derived from Primary Processing: Strategies for Revalorization. Processes 2022, 10, 2436. [Google Scholar] [CrossRef]
  21. Hernández-Sarabia, M.; Sierra-Silva, J.; Delgadillo-Mirquez, L.; Ávila-Navarro, J.; Carranza, L. The Potential of the Biodigester as a Useful Tool in Coffee Farms. Appl. Sci. 2021, 11, 6884. [Google Scholar] [CrossRef]
  22. Amador-Diaz, I. Anaerobic Digestion of Lignocellulosic Biomass via Cotreatment: A Techno-Economic Analysis. Master’s Thesis, Pennsylvania State University, State College, PA, USA, 19 May 2019. [Google Scholar]
  23. Akindolire, M.; Rama, H.; Roopnarain, A. Psychrophilic anaerobic digestion: A critical evaluation of microorganisms and enzymes to drive the process. Renew. Sustain. Energy Rev. 2022, 161, 112394. [Google Scholar] [CrossRef]
  24. Tiwari, B.; Rouissi, T.; Brar, S.; Surampalli, R. Critical insights into psychrophilic anaerobic digestion: Novel strategies for improving biogas production. Waste Manag. 2021, 131, 513–526. [Google Scholar] [CrossRef] [PubMed]
  25. Lettinga, G.; Rebac, S.; Zeeman, G. Challenge of psychrophilic anaerobic wastewater treatment. Trends Biotechnol. 2001, 19, 363–370. [Google Scholar] [CrossRef]
  26. Dhaked, R.K.; Singh, P.; Singh, L. Biomethanation under psychrophilic conditions. Waste Manag. 2010, 30, 2490–2496. [Google Scholar] [CrossRef]
  27. VDI. Fermentation Tests: Fermentation of Organic Materials: Characterisation of the Substrate, Sampling, Collection of Material Data; Germany Association of Engineers: Düsseldorf, Germany, 2016. [Google Scholar]
  28. Holliger, C.; Alves, M.; Andrade, D.; Angelidaki, I.; Astals, S.; Baier, U.; Bougrier, C.; Buffière, P.; Carballa, M.; De Wilde, V.; et al. Towards a standardization of biomethane potential tests. Water Sci. Technol. 2016, 74, 2515–2522. [Google Scholar] [CrossRef] [PubMed]
  29. Hafner, S.D.; Fruteau de Laclos, H.; Koch, K.; Holliger, C. Improving inter-laboratory reproducibility in measurement of biochemical methane potential (BMP). Water 2020, 12, 1752. [Google Scholar] [CrossRef]
  30. Ahmed, A.M.S.; Buezo, K.A.; Saady, N.M.C. Adapting anaerobic consortium to pure and complex lignocellulose substrates at low temperature: Kinetics evaluation. Int. J. Recycl. Org. Waste Agric. 2019, 8, 99–110. [Google Scholar] [CrossRef]
  31. Angelidaki, I.; Alves, M.; Bolzonella, D.; Borzacconi, L.; Campos, J.L.; Guwy, A.J.; Kalyuzhnyi, S.; Jenicek, P.; van Lier, J.B. Defining the biomethane potential (BMP) of solid organic wastes and energy crops: A proposed protocol for batch assays. Water Sci. Technol. 2009, 2009. 59, 927–934. [Google Scholar] [CrossRef]
  32. Nurzulaifa, S.; Buyong, F. Comparative of experimental and theoreticaurzulaifal biochemical methane potential generated by municipal solid waste. Environ. Adv. 2023, 11, 100345. [Google Scholar] [CrossRef]
  33. Jingura, R.M.; Kamusoko, R. Methods for Determination of Biomethane Potential of Feedstocks: A Review. Biofuel Res. J. 2017, 4, 573–586. [Google Scholar] [CrossRef]
  34. Elbeshbishy, E.; Nakhla, G.; Hafez, H. Biochemical methane potential (BMP) of food waste and primary sludge: Influence of inoculum pre-incubation and inoculum source. Bioresour. Technol. 2012, 110, 18–25. [Google Scholar] [CrossRef] [PubMed]
  35. Soares, N.; Arantes, Y.; Gomes, A.; Herrera, O.; Alves, L.; Valderrama, J.; Luna, H.; Lobo, B. Coffee Husk Waste Valorization Using Thermal Pretreatment Associated to Bioprocess to Produce Bioproducts: Characterization, Kinetic, Economic Assessment, and Challenges. In Microbial Bioprocessing of Agri-Food Wastes, 1st, ed.; CRC Press: Boca Raton, FL, USA, 2023; p. 29. ISBN 9781003128977. [Google Scholar]
  36. Reis, J.; Abreu, L.; Rodrigues, L.; Sousa, M. Thermochemical treatment of coffee peels for the production of biogas by anaerobic digestion. In Annals of the Giulio Massarani Journey of Scientific, Technological, Artistic and Cultural Initiation; UFRJ: Rio de Janeiro, Brazil, 2021. [Google Scholar]
  37. Wang, B.; Nges, I.A.; Nistor, M.; Liu, J. Determination of methane yield of cellulose using different experimental setups. Water Sci. Technol. 2014, 70, 599–604. [Google Scholar] [CrossRef] [PubMed]
  38. Cangussu, L.B.; Melo, J.C.; Franca, A.S.; Oliveira, L.S. Chemical Characterization of Coffee Husks, a By-Product of Coffea arabica Production. Foods 2021, 10, 3125. [Google Scholar] [CrossRef]
  39. Lübken, M.; Gehring, T.; Wichern, M. Microbiological fermentation of lignocellulosic biomass: Current state and prospects of mathematical modeling. Appl. Microbiol. Biotechnol. 2010, 85, 1643–1652. [Google Scholar] [CrossRef]
  40. Contreras, L.M.; Schelle, H.; Sebrango, C.R.; Pereda, I. Methane potential and biodegradability of rice straw, rice husk and rice residues from the drying process. Water Sci. Technol. 2012, 65, 1142–1149. [Google Scholar] [CrossRef] [PubMed]
  41. Baquerizo-Crespo, R.; Astals, S.; Pérez-Ones, O.; Pereda-Reyes, I. Mathematical Modeling Challenges Associated with Waste Anaerobic Biodegradability. In Advances in the Domain of Environmental Biotechnology; Springer: Singapore, 2021; pp. 357–392. ISBN 978-981-15-8998-0. [Google Scholar]
  42. Prem, C.; Shanmugam, P. Correlation between empirical formulae based stoichiometric and experimental methane potential and calorific energy values for vegetable solid wastes. Energy Rep. 2021, 7, 19–31. [Google Scholar] [CrossRef]
  43. Browne, J.D.; Murphy, J.D. Assessment of the resource associated with biomethane from food waste. Appl. Energy 2012, 104, 170–177. [Google Scholar] [CrossRef]
  44. Eskicioglu, C.; Monlau, M.; Abdellatif, B.; Ferrer, I.; Kaparaju, P.; Trably, E.; Carrère, H. Assessment of hydrothermal pretreatment of various lignocellulosic biomass with CO2 catalyst for enhanced methane and hydrogen production. Water Res. 2017, 120, 32–42. [Google Scholar] [CrossRef] [PubMed]
  45. Lymperatou, A.; Engelsen, T.; Skiadas, I.; Gavala, H. Prediction of methane yield and pretreatment efficiency of lignocellulosic biomass based on composition. Waste Manag. 2023, 155, 302–310. [Google Scholar] [CrossRef] [PubMed]
  46. Mussatto, S.I.; Dragone, G.; Fernandes, M.; Milagres, A.M.F. Effect of hemicellulose and lignin on enzymatic hydrolysis of cellulose from brewer’s spent grain. Enzym. Microb. Technol. 2008, 43, 124–129. [Google Scholar] [CrossRef]
  47. Li, P.; Li, W.; Sun, M.; Xu, X.; Zhang, B.; Sun, Y. Evaluation of Biochemical Methane Potential and Kinetics on the Anaerobic Digestion of Vegetable Crop Residues. Energies 2019, 12, 26. [Google Scholar] [CrossRef]
  48. Agregán, R.; Lorenzo, J.M.; Kumar, M.; Shariati, M.A.; Khan, M.U.; Sarwar, A.; Sultan, M.; Rebezov, M.; Usman, M. Anaerobic Digestion of Lignocellulose Components: Challenges and Novel Approaches. Energies 2022, 15, 8413. [Google Scholar] [CrossRef]
  49. Dou, W.; Shen, F.; Yang, G.; Zhang, Y.; Deng, S.; Zhang, J.; Zeng, Y.; Luo, T.; Mei, Z. Can Hydrothermal Pretreatment Improve Anaerobic Digestion for Biogas from Lignocellulosic Biomass? Bioresour. Technol. 2018, 249, 117–124. [Google Scholar] [CrossRef]
  50. Carrere, H.; Antonopoulou, G.; Affes, R.; Passos, F.; Battimelli, A.; Lyberatos, G.; Ferrer, I. Review of feedstock pretreatment strategies for improved anaerobic digestion: From lab-scale research to full-scale application. Bioresour. Technol. 2016, 199, 386–397. [Google Scholar] [CrossRef]
  51. Dumlu, L.; Ciggin, A.S.; Ručman, S.; Perendeci, N.A. Pretreatment, Anaerobic Codigestion, or Both? Which Is More Suitable for the Enhancement of Methane Production from Agricultural Waste? Molecules 2021, 26, 4175. [Google Scholar] [CrossRef] [PubMed]
  52. Sagarika, P.; Brajesh, K.D. Electrochemical pretreatment of yard waste to improve biogas production: Understanding the mechanism of delignification, and energy balance. Bioresour. Technol. 2019, 292, 121958. [Google Scholar] [CrossRef]
  53. Passos, F.; Ortega, V.; Donoso-Bravo, A. Thermochemical pretreatment and AD of dairy cow manure: Experimental and economic evaluation. Bioresour. Technol. 2017, 227, 239–246. [Google Scholar] [CrossRef] [PubMed]
  54. Neves, L.; Oliveira, R.; Alves, M.M. Anaerobic co-digestion of coffee waste and sewage sludge. Waste Manag. 2006, 26, 176–181. [Google Scholar] [CrossRef] [PubMed]
  55. Lobo, B.; Miranda, P.; Passos, F.; Alves, L.; Aquino, S.; Fdz-Polanco, F. Steam explosion pretreatment improved the biomethanization of coffee husks. Bioresour. Technol. 2017, 245, 66–72. [Google Scholar] [CrossRef]
  56. Passos, F.; Miranda Cordeiro, P.H.; Lobo Baeta, B.; Aquino, S.F.; Perez-Elvira, S.I. Anaerobic co-digestion of coffee husks and microalgal biomass after thermal hydrolysis. Bioresour. Technol. 2018, 253, 49–54. [Google Scholar] [CrossRef]
  57. CONAB, Companhia Nacional de Abastecimento. 2019. Available online: https://www.conab.gov.br (accessed on 29 March 2019).
  58. Fernandes, M.; Baeta, B.; Adarme, O.; Fonseca, A. Energy recovery alternatives for coffee husk waste:an LCA-based carbon footprint analysis of anaerobicdigestion technologies. SSRN 2023. [Google Scholar] [CrossRef]
  59. Soares, N. Evaluation of Hydrothermal Pre-Treatment of Coffee Peels in Enzymatic Hydrolysis and Biogas Production; Federal University of Ouro Preto, Environmental Engineering: Ouro Preto, Brazil, 2019. [Google Scholar]
Figure 1. (a) Biogas volume rate (dashed line) and methane volume rate (vertical bars). (b) Cumulative biogas (blue bars), methane (red bars) productivity, and methane yield (black dots).
Figure 1. (a) Biogas volume rate (dashed line) and methane volume rate (vertical bars). (b) Cumulative biogas (blue bars), methane (red bars) productivity, and methane yield (black dots).
Methane 03 00013 g001
Figure 2. Experimental versus predicted values of ultimate CH4 yield of the coffee husk (a) at mesophilic conditions, (b) at psychrophilic conditions, and (c) at psychrophilic conditions with thermochemical pretreatment. Black line corresponds to the predicted CH4 yield, and the blue dots correspond to the experimental CH4 yield.
Figure 2. Experimental versus predicted values of ultimate CH4 yield of the coffee husk (a) at mesophilic conditions, (b) at psychrophilic conditions, and (c) at psychrophilic conditions with thermochemical pretreatment. Black line corresponds to the predicted CH4 yield, and the blue dots correspond to the experimental CH4 yield.
Methane 03 00013 g002aMethane 03 00013 g002b
Table 1. Characteristics of coffee husk and the inoculum.
Table 1. Characteristics of coffee husk and the inoculum.
ParametersCoffee HuskAnaerobic Sludge
Total solids (% TS)87.36 ± 0.0026.05 ± 0.003
Total volatile solids (% VS) *92.32 ± 0.68385.12 ± 0.149
pH-7.3 ± 0.058
C (%) **44.99 ± 3.423
H (%) **5.75 ± 0.738
O (%) **47.31 ± 5.950
N (%) **1.76 ± 0.971
S (%) **0.16 ± 0.100
C/N25.56
* Based on total solids. ** Based on volatile solids.
Table 2. Coefficients of the elements.
Table 2. Coefficients of the elements.
ComponentWeight Fraction (%)Contribution Mass (g)Molecular Weight (g/mol)Coefficients (mol)
Carbon44.996.59120.55
Hydrogen5.790.84810.85
Oxygen47.316.938160.43
Nitrogen1.760.258140.02
Sulfur0.160.023320.001
100%14.667
Table 3. Summary of key energy production parameters.
Table 3. Summary of key energy production parameters.
ParameterTheoretical Energy ContentC1-35 °CC2-20 °CC3-20 °C-w/Pretreatment
Substrate formula C0.55H0.85O0.43N0.02
BMPEXP (NmL CH4/g VS) 124.99 ± 1194.96 ± 5150.47 ± 15
CODTH (g COD/g VS)0.93
BMPEXP-CODTH (NmL CH4/g VS) 133.77101.63161.04
BMPTH (NmL CH4/g VS)405.52
BMPTH (NmL CH4/g COD)434.00
BMPE0 (NmL CH4/g VS)402.26
BMPE0 (NmL CH4/g COD)430.50
E0 (MJ/kg VS) *15.04
E0 (MJ/kg COD) *16.09
BD (%) 30.8223.4237.11
* Calculated using the conversion factor of 3.6 MJ/kWh and CODTH.
Table 4. First-order kinetic parameters of average cumulative methane production curves.
Table 4. First-order kinetic parameters of average cumulative methane production curves.
BMP TestsBMPExp (NmL  gVS−1)BMPPred (NmL  gVS−1)k (per Day)Time (Days)Adj. R2RMSE
C1-35 °C124.99149.070.033300.9706.19
C2-20 °C94.96159.420.019540.9962.17
C3-20 °C-w/pretreatment150.47221.900.023430.9943.68
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Yang, T.S.; Flores-Rodriguez, C.; Torres-Albarracin, L.; Silva, A.J.d. Thermochemical Pretreatment for Improving the Psychrophilic Anaerobic Digestion of Coffee Husks. Methane 2024, 3, 214-226. https://doi.org/10.3390/methane3020013

AMA Style

Yang TS, Flores-Rodriguez C, Torres-Albarracin L, Silva AJd. Thermochemical Pretreatment for Improving the Psychrophilic Anaerobic Digestion of Coffee Husks. Methane. 2024; 3(2):214-226. https://doi.org/10.3390/methane3020013

Chicago/Turabian Style

Yang, Tzyy Shyuan, Carla Flores-Rodriguez, Lorena Torres-Albarracin, and Ariovaldo José da Silva. 2024. "Thermochemical Pretreatment for Improving the Psychrophilic Anaerobic Digestion of Coffee Husks" Methane 3, no. 2: 214-226. https://doi.org/10.3390/methane3020013

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